Abhijeet Ghadge

Strategy and Management · 2012–2020

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Abhijeet Ghadge trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Gérard P. Cachon
  2. Barbara A. Kitchenham
  3. Amy C. Edmondson
  4. Anne-Wil Harzing
  5. Zugang Liu
  6. Iris Heckmann
  7. Uthayasankar Sivarajah
  8. Sachin S. Kamble
  9. S. McManus
  10. Satu Alakangas

Who trusts Abhijeet Ghadge overall

  1. Yiyi Fan
  2. Mark Stevenson
  3. Hendrik Wurtmann
  4. Kevin P. Scheibe
  5. S. V. Nooraie

Papers from Abhijeet Ghadge's perspective

Ordered by how strongly the researchers Abhijeet Ghadge trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications
  2. Multivariate data analysis : a global perspective
  3. Modeling the blockchain enabled traceability in agriculture supply chain (International Journal of Information Management)
  4. Analysis of the driving and dependence power of barriers to adopt industry 4.0 in Indian manufacturing industry (Computers in industry (Print))
  5. Knowledge translation in health research: A novel approach to health sciences education (Medical Education Online)
  6. Organizational learning paths based upon industry 4.0 adoption: An empirical study with Brazilian manufacturers (International Journal of Production Economics)
  7. Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives (Frontiers of Mechanical Engineering)
  8. Small and medium manufacturing enterprises and Asia's sustainable economic development
  9. Blockchain technology in agri-food value chain management: A synthesis of applications, challenges and future research directions (Computers in industry (Print))
  10. Applications of structural equation modeling (SEM) in ecological studies: an updated review (Ecological Processes)

Their papers